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Update app.py
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app.py
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@@ -10,6 +10,7 @@ from threading import RLock
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lock = RLock()
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HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
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def load_fn(models):
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global models_load
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models_load = {}
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@@ -23,7 +24,6 @@ def load_fn(models):
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m = gr.Interface(lambda: None, ['text'], ['image'])
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models_load.update({model: m})
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-
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load_fn(models)
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@@ -31,6 +31,8 @@ num_models = 1
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default_models = models[:num_models]
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inference_timeout = 600
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def extend_choices(choices):
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@@ -41,13 +43,57 @@ def update_imgbox(choices):
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choices_plus = extend_choices(choices)
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return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
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-
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def gen_fn(model_str, prompt):
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if model_str == 'NA':
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return None
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noise = str('') #str(randint(0, 99999999999))
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return models_load[model_str](f'{prompt} {noise}')
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def gen_fnsix(model_str, prompt):
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if model_str == 'NA':
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return None
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@@ -64,7 +110,7 @@ with gr.Blocks() as demo:
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gr.HTML(
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"""
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<div>
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<p> <center>For negative prompts,
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</p></div>
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"""
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)
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@@ -91,7 +137,41 @@ with gr.Blocks() as demo:
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gr.HTML(
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"""
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<div class="footer">
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<p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77, Omnibus's Maximum Multiplier,
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</p>
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"""
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)
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lock = RLock()
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HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
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+
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def load_fn(models):
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global models_load
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models_load = {}
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m = gr.Interface(lambda: None, ['text'], ['image'])
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models_load.update({model: m})
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load_fn(models)
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default_models = models[:num_models]
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inference_timeout = 600
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MAX_SEED=3999999999
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def extend_choices(choices):
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choices_plus = extend_choices(choices)
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return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
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def gen_fn(model_str, prompt):
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if model_str == 'NA':
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return None
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noise = str('') #str(randint(0, 99999999999))
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return models_load[model_str](f'{prompt} {noise}')
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async def infer(model_str, prompt, seed=1, timeout=inference_timeout):
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from pathlib import Path
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kwargs = {}
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noise = ""
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kwargs["seed"] = seed
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task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn,
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prompt=f'{prompt} {noise}', **kwargs, token=HF_TOKEN))
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await asyncio.sleep(0)
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try:
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result = await asyncio.wait_for(task, timeout=timeout)
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except (Exception, asyncio.TimeoutError) as e:
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print(e)
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print(f"Task timed out: {model_str}")
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if not task.done(): task.cancel()
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result = None
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if task.done() and result is not None:
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with lock:
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png_path = "image.png"
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result.save(png_path)
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image = str(Path(png_path).resolve())
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return image
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return None
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def gen_fnseed(model_str, prompt, seed=1):
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if model_str == 'NA':
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return None
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try:
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loop = asyncio.new_event_loop()
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result = loop.run_until_complete(infer(model_str, prompt, seed, inference_timeout))
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except (Exception, asyncio.CancelledError) as e:
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print(e)
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print(f"Task aborted: {model_str}")
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result = None
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finally:
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loop.close()
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return result
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def gen_fnsix(model_str, prompt):
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if model_str == 'NA':
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return None
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gr.HTML(
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"""
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<div>
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<p> <center>For negative prompts, Width and Height, and other features visit John6666's <a href="https://huggingface.co/spaces/John6666/PrintingPress4">Printing Press 4</a>!</center>
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</p></div>
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"""
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)
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gr.HTML(
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"""
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<div class="footer">
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<p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77, Omnibus's Maximum Multiplier, and <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>!
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</p>
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"""
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with gr.Tab('Seed it!'):
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model_choiceseed = gr.Dropdown(models, label = f'Choose a model from the {len(models)} available! Try clearing the box and typing on it to filter them!', value = models[0], filterable = True)
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txt_inputseed = gr.Textbox(label = 'Your prompt:')
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seed = gr.Slider(label="Use a seed to replicate the same image later", info="Max 3999999999", minimum=0, maximum=MAX_SEED, step=1, value=1)
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max_imagesseed = 1
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num_imagesseed = gr.Slider(1, max_imagesone, value = max_imagesone, step = 1, label = 'One, because more would make it produce identical images with the seed', visible = False)
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gen_buttonseed = gr.Button('Generate an image using the seed')
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#stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
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gen_button.click(lambda s: gr.update(interactive = True), None)
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with gr.Row():
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outputseed = [gr.Image(label = '') for _ in range(max_imagesseed)]
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for i, o in enumerate(outputseed):
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img_is = gr.Number(i, visible = False)
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num_imagesseed.change(lambda i, n: gr.update(visible = (i < n)), [img_is, num_imagesseed], o, show_progress = False)
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#gen_eventseed = gen_buttonseed.click(lambda i, n, m, t, n1: gen_fnseed(m, t, n1) if (i < n) else None, [img_is, num_imagesseed, model_choiceseed, txt_inputseed, useseed], o, concurrency_limit=None, queue=False)
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gen_eventseed = gr.on(triggers=[gen_buttonseed.click, txt_inputseed.submit],
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fn=lambda i, n, m, t, n1: gen_fnseed(m, t, n1) if (i < n) else None,
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inputs=[img_is, num_imagesseed, model_choiceseed, txt_inputseed, seed], outputs=[o],
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concurrency_limit=None, queue=False) # Be sure to delete ", queue=False" when activating the stop button
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#stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
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with gr.Row():
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gr.HTML(
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"""
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<div class="footer">
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<p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77, Omnibus's Maximum Multiplier, and <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>!
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</p>
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"""
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)
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